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NCT05898165: FIND-AF
Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): Pilot Study
trial testing Development of an algorithm in Atrial Fibrillation in 1,955 participants. Participants enrolled and being followed up; not accepting new ones.
16 June 2025
Quick facts
| Lead sponsor | University of Leeds |
|---|---|
| Status | Active, enrolled |
| Study type | OBSERVATIONAL |
| Enrollment | 1,955 |
| Start date | 1 October 2023 |
| Primary completion | 16 June 2025 |
| Estimated completion | 28 February 2026 |
| Sites | 1 location across United Kingdom |
Drugs / interventions tested
- Development of an algorithm
Conditions studied
- Atrial Fibrillation — all drugs for Atrial Fibrillation →
- Heart Diseases — all drugs for Heart Diseases →
- Cardiovascular Diseases — all drugs for Cardiovascular Diseases →
Sponsor
University of Leeds
Who can join
30 and older, any sex, with Atrial Fibrillation or Heart Diseases. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The purpose of this study is to trial a new intervention - risk-guided AF screening using an EHR-based risk score and remote ECG monitoring process - and to characterise individuals at elevated predicted AF risk.
Publications & conference data
6 peer-reviewed publications reference this trial (live from Europe PMC):
-
Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): pilot study of an electronic health record machine learning algorithm-guided intervention to identify undiagnosed atrial fibrillation.
Nadarajah R, Wahab A, Reynolds C, Raveendra K, et al · · 2023 · cited 11× · PMID 37777255 · DOI 10.1136/openhrt-2023-002447 -
Phenotypic characterization of people at risk of atrial fibrillation: protocol for the FIND-AF longitudinal cohort study.
Wahab A, Nadarajah R, Reynolds C, Bennett S, et al · · 2024 · cited 3× · PMID 39319414 · DOI 10.1093/eurjpc/zwae303 -
Perceptions of healthcare professionals on the use of a risk prediction model to inform atrial fibrillation screening: qualitative interview study in English primary care.
Hamilton E, Shone L, Reynolds C, Wu J, et al · · 2025 · cited 2× · PMID 39909527 · DOI 10.1136/bmjopen-2024-091675 -
Towards improved detection of subclinical atrial fibrillation - Who could benefit from targeted screening?
Fender AC, Dobrev D. · · 2024 · cited 1× · PMID 39911612 · DOI 10.1016/j.ijcha.2024.101550 -
Cardiac magnetic resonance imaging-derived atrial fibrosis in patients with pre-atrial fibrillation.
Wahab A, Nadarajah R, Tomoaia R, Javed W, et al · · 2025 · PMID 41314690 · DOI 10.1136/openhrt-2025-003747 -
Protocol for the OPTIMSE-1 randomised clinical trial to test specialist-led identification and management of cardio-renal-metabolic-pulmonary disease in machine learning algorithm-detected high-risk community-dwelling individuals.
Nadarajah R, Wahab A, Joseph T, Reynolds C, et al · · 2025 · PMID 40774703 · DOI 10.1136/bmjopen-2025-101088
Verify or expand the search:
- PubMed search for NCT05898165
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other trials of Development of an algorithm
Trials testing the same drug.
- NCT05837364 — Predicting Risk of Atrial Fibrillation and Association With Other Diseases · completed
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Currently open trials in the same condition.
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Other University of Leeds trials
Trials by the same sponsor.
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- NCT06240403 — Digoxin and Senolysis in Heart Failure and Diabetes Mellitus · Phase 2 · not yet recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05898165 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by University of Leeds
- Last refreshed: 17 September 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05898165.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing